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Continuous anomaly detection in satellite image time series is important for studying spatial-temporal processes of land cover changes. In another study, we proposed a method based on Z-scores of Season-Trend model Residuals (Z-STR), which can continuously detects anomaly regions in image time series. However, Z-STR only detects anomalies with large shifts but cannot detect anomalies with small or...
Natural disasters or human activities, such as forest fire, flood, and deforestation, may lead to anomaly or disturbance of land cover. Continuous detection of anomalies is important for studying spatial-temporal processes of land cover changes. Although many time-series-analysis methods have been developed for change detection, to the best of our knowledge, few methods focus on continuously detecting...
In the mobile agent system, a mobile agent has its life cycle, and its life state may change time after time. In order to improve the mobile agent management during its life cycle, this paper presents a mobile agent life state management model. This model keeps the records of all mobile agents life state changes occurred during its whole life cycle. This paper not only gives the agent life state log...
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